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https://github.com/Doctorado-ML/STree.git
synced 2025-08-15 15:36:00 +00:00
Implement grapher and notebook to test it
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@@ -16,14 +16,21 @@ from trees.Snode_graph import Snode_graph
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from trees.Stree import Stree
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from trees.Siterator import Siterator
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class Stree_grapher(Stree):
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"""Build 3d graphs of any dataset, if it's more than 3 features PCA shall
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make its magic
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"""
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def __init__(self, params: dict):
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self._plot_size = (8, 8)
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self._tree_gr = None
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# make Snode store X's
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os.environ['TESTING'] = '1'
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self._fitted = False
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self._pca = None
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super().__init__(**params)
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def __del__(self):
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try:
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os.environ.pop('TESTING')
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@@ -43,12 +50,52 @@ class Stree_grapher(Stree):
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return mirror
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def fit(self, X: np.array, y: np.array) -> Stree:
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"""Fit the Stree and copy the tree in a Snode_graph tree
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:param X: Dataset
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:type X: np.array
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:param y: Labels
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:type y: np.array
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:return: Stree model
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:rtype: Stree
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"""
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if X.shape[1] != 3:
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pca = PCA(n_components=3)
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X = pca.fit_transform(X)
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self._pca = PCA(n_components=3)
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X = self._pca.fit_transform(X)
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res = super().fit(X, y)
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self._tree_gr = self._copy_tree(self._tree)
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self._fitted = True
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return res
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def score(self, X: np.array, y: np.array) -> float:
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self._check_fitted()
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if X.shape[1] != 3:
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X = self._pca.transform(X)
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return super().score(X, y)
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def _check_fitted(self):
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if not self._fitted:
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raise Exception('Have to fit the grapher first!')
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def save_all(self, save_folder: str = './', save_prefix: str = ''):
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"""Save all the node plots in png format, each with a sequence number
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:param save_folder: folder where the plots are saved, defaults to './'
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:type save_folder: str, optional
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"""
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self._check_fitted()
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seq = 1
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for node in self:
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node.save_hyperplane(save_folder=save_folder,
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save_prefix=save_prefix, save_seq=seq)
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seq += 1
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def plot_all(self):
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"""Plots all the nodes
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"""
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self._check_fitted()
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for node in self:
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node.plot_hyperplane()
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def __iter__(self):
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return Siterator(self._tree_gr)
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